Issue Tracking Is Dead. Long Live the Spec.
Linear’s CEO made a striking announcement this week: the company is pivoting from issue tracking to agentic AI. The product will evolve to capture issues aut...
Tags
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- sdlc 13
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spec-driven-development
Cognitive Debt: What Happens When Your Agents Move Faster Than You Can Review
Mario Zechner, the creator of the Pi agent framework, published a frank piece this week that’s worth sitting with: agents compound mistakes faster than human...
Building the End-to-End AI-Native SDLC: What I’ve Learned
This is Post 6 of a series on the AI-Native SDLC. Previous posts: The Missing Half, From PRFAQ to Backlog, Specifications Are the New API, AI Drift Is a Prod...
Context Is the New Constraint: Managing What Your AI Knows
Your AI knows too much. And not enough. At the same time.
AI Drift Is a Product Problem, Not an Engineering Problem
Your coding agent isn’t broken. Your specifications are.
Specifications Are the New API Between Product and Engineering
Picture this. Your team just adopted an AI coding agent. Cursor, Claude Code, Copilot, it doesn’t matter which. The first week is electric. A developer promp...
From PRFAQ to Backlog: How Amazon’s Working Backwards Process Becomes an AI Pipeline
In my previous post on Amazon’s Working Backwards SDLC for SMBs, I walked through the structured artifact chain (personas, use cases, PRFAQ, capability maps,...
The Missing Half of AI-Assisted Development
There’s a growing conversation in the industry about building a “Cursor for product management,” an AI-native system focused on helping teams figure out what...
Onboarding Our Founding Engineering Team
Today I’m onboarding the founding engineers at Actualyze. I’ve worked with all of them before. Excited to be getting the band back together.
What KodeOps Means: Unified SDLC Automation
The name KodeOps is deliberate. Just as DevOps unified development and operations, KodeOps unifies the entire software development lifecycle under a single a...
Introducing KodeOps: Open Source SDLC Automation
In my year-end reflections, I mentioned that I’d be sharing more of my work through open source releases in the coming year. Today, I’m delivering on that pr...
The IDE Doesn’t Matter: A Philosophy for LLM-Powered Code Generation
LLMs are transforming how we build software. They can generate entire functions, refactor complex modules, and implement features faster than ever before. Bu...
Working Backwards with SDLD: Building a Go Service with Mage
Written in the working-backwards narrative style we use for launch docs.*
Spec-Driven Development: A Comprehensive SDLC for AI-Assisted Software Engineering
Modern software development teams face a fundamental tension: AI assistants dramatically accelerate code generation, but without structured workflows, this s...
The SDLD Specification Format: A Canonical Reference
A comprehensive guide to the SDLD specification format for LLM-assisted software development.
Spec-Driven LLM Development (SDLD): Precise Engineering Through Specifications
LLMs are transforming how we write code. They can generate entire functions, refactor complex modules, and implement features faster than ever before. But th...
sdlc
The Agentic SDLC Transition Is Happening Whether Your Team Is Ready or Not
A leaked internal memo from Red Hat’s CTO and SVP of Engineering, dated March 31, 2026, is making the rounds. The headline: all of Global Engineering is requ...
Issue Tracking Is Dead. Long Live the Spec.
Linear’s CEO made a striking announcement this week: the company is pivoting from issue tracking to agentic AI. The product will evolve to capture issues aut...
Customer Discovery Is the Highest-Leverage Work You’re Not Doing
I’ve spent the last month in back-to-back conversations with potential customers. Twenty-plus meetings, each one between thirty and sixty minutes. Every conv...
Context Is the New Constraint: Managing What Your AI Knows
Your AI knows too much. And not enough. At the same time.
AI Drift Is a Product Problem, Not an Engineering Problem
Your coding agent isn’t broken. Your specifications are.
Specifications Are the New API Between Product and Engineering
Picture this. Your team just adopted an AI coding agent. Cursor, Claude Code, Copilot, it doesn’t matter which. The first week is electric. A developer promp...
From PRFAQ to Backlog: How Amazon’s Working Backwards Process Becomes an AI Pipeline
In my previous post on Amazon’s Working Backwards SDLC for SMBs, I walked through the structured artifact chain (personas, use cases, PRFAQ, capability maps,...
The Missing Half of AI-Assisted Development
There’s a growing conversation in the industry about building a “Cursor for product management,” an AI-native system focused on helping teams figure out what...
Amazon’s Working Backwards SDLC: A Practical Guide for SMB Engineering Teams
Amazon’s software development lifecycle is one of the most effective product development processes ever created. It has produced AWS, Kindle, Prime, Alexa, a...
What KodeOps Means: Unified SDLC Automation
The name KodeOps is deliberate. Just as DevOps unified development and operations, KodeOps unifies the entire software development lifecycle under a single a...
Introducing KodeOps: Open Source SDLC Automation
In my year-end reflections, I mentioned that I’d be sharing more of my work through open source releases in the coming year. Today, I’m delivering on that pr...
Spec-Driven Development: A Comprehensive SDLC for AI-Assisted Software Engineering
Modern software development teams face a fundamental tension: AI assistants dramatically accelerate code generation, but without structured workflows, this s...
Year-End Reflections: The Last 18 Months, and What Comes Next
As the year comes to a close, I’ve been reflecting on the last 18 months since leaving AWS. It’s been a long, focused chapter of deep work, and it’s now sett...
agentic-ai
The Agentic SDLC Transition Is Happening Whether Your Team Is Ready or Not
A leaked internal memo from Red Hat’s CTO and SVP of Engineering, dated March 31, 2026, is making the rounds. The headline: all of Global Engineering is requ...
The Vibe Coding Trap: Why Architecture Matters More When AI Writes the Code
A team ported a Go implementation of JSONata from scratch last week. Seven hours. $400 in token spend. They estimate it saves $500,000 a year in engineering ...
Issue Tracking Is Dead. Long Live the Spec.
Linear’s CEO made a striking announcement this week: the company is pivoting from issue tracking to agentic AI. The product will evolve to capture issues aut...
Cognitive Debt: What Happens When Your Agents Move Faster Than You Can Review
Mario Zechner, the creator of the Pi agent framework, published a frank piece this week that’s worth sitting with: agents compound mistakes faster than human...
What KodeOps Means: Unified SDLC Automation
The name KodeOps is deliberate. Just as DevOps unified development and operations, KodeOps unifies the entire software development lifecycle under a single a...
Introducing KodeOps: Open Source SDLC Automation
In my year-end reflections, I mentioned that I’d be sharing more of my work through open source releases in the coming year. Today, I’m delivering on that pr...
Why Go is the Best Language for Production-Grade Agentic AI and Orchestration
A Personal Perspective
Year-End Reflections: The Last 18 Months, and What Comes Next
As the year comes to a close, I’ve been reflecting on the last 18 months since leaving AWS. It’s been a long, focused chapter of deep work, and it’s now sett...
re:Invent 2025: AWS Frontier Agents and Developer Tools
Last day at re:Invent. Want to share notes on the AWS developer tools announcements.
Announcing ActualyzeAI
One year ago, I decided to leave Amazon Web Services to start my own company. Since then I’ve had the chance to meet some amazing people, build some incredib...
ai-coding
Context Is the New Constraint: Managing What Your AI Knows
Your AI knows too much. And not enough. At the same time.
AI Drift Is a Product Problem, Not an Engineering Problem
Your coding agent isn’t broken. Your specifications are.
Specifications Are the New API Between Product and Engineering
Picture this. Your team just adopted an AI coding agent. Cursor, Claude Code, Copilot, it doesn’t matter which. The first week is electric. A developer promp...
From PRFAQ to Backlog: How Amazon’s Working Backwards Process Becomes an AI Pipeline
In my previous post on Amazon’s Working Backwards SDLC for SMBs, I walked through the structured artifact chain (personas, use cases, PRFAQ, capability maps,...
The Missing Half of AI-Assisted Development
There’s a growing conversation in the industry about building a “Cursor for product management,” an AI-native system focused on helping teams figure out what...
The LLM Complexity Gap: Why No-Code Works for Web UIs But Not for Distributed Systems
LLMs have democratized software development in ways that seemed impossible just a few years ago. Tools like Lovable.com, Bolt.new, and v0.dev let non-technic...
The IDE Doesn’t Matter: A Philosophy for LLM-Powered Code Generation
LLMs are transforming how we build software. They can generate entire functions, refactor complex modules, and implement features faster than ever before. Bu...
Spec-Driven Development: A Comprehensive SDLC for AI-Assisted Software Engineering
Modern software development teams face a fundamental tension: AI assistants dramatically accelerate code generation, but without structured workflows, this s...
The SDLD Specification Format: A Canonical Reference
A comprehensive guide to the SDLD specification format for LLM-assisted software development.
Spec-Driven LLM Development (SDLD): Precise Engineering Through Specifications
LLMs are transforming how we write code. They can generate entire functions, refactor complex modules, and implement features faster than ever before. But th...
working-backwards
Customer Discovery Is the Highest-Leverage Work You’re Not Doing
I’ve spent the last month in back-to-back conversations with potential customers. Twenty-plus meetings, each one between thirty and sixty minutes. Every conv...
Building the End-to-End AI-Native SDLC: What I’ve Learned
This is Post 6 of a series on the AI-Native SDLC. Previous posts: The Missing Half, From PRFAQ to Backlog, Specifications Are the New API, AI Drift Is a Prod...
Context Is the New Constraint: Managing What Your AI Knows
Your AI knows too much. And not enough. At the same time.
AI Drift Is a Product Problem, Not an Engineering Problem
Your coding agent isn’t broken. Your specifications are.
Specifications Are the New API Between Product and Engineering
Picture this. Your team just adopted an AI coding agent. Cursor, Claude Code, Copilot, it doesn’t matter which. The first week is electric. A developer promp...
From PRFAQ to Backlog: How Amazon’s Working Backwards Process Becomes an AI Pipeline
In my previous post on Amazon’s Working Backwards SDLC for SMBs, I walked through the structured artifact chain (personas, use cases, PRFAQ, capability maps,...
The Missing Half of AI-Assisted Development
There’s a growing conversation in the industry about building a “Cursor for product management,” an AI-native system focused on helping teams figure out what...
Amazon’s Working Backwards SDLC: A Practical Guide for SMB Engineering Teams
Amazon’s software development lifecycle is one of the most effective product development processes ever created. It has produced AWS, Kindle, Prime, Alexa, a...
kubernetes
Production AI Inference on Your Laptop in 8 Minutes: Mastering KServe with kFabric
Deploy Production-Like AI Inference Infrastructure on Your Laptop – In Eight Minutes
Getting Started with the CNCF Cloud-Native AI Stack: A Practical Guide for New Engineers
If you’re a new engineer looking to understand the CNCF Cloud-Native AI (CNAI) ecosystem, you’re entering at exactly the right moment. The stack has matured ...
Why Go is the Best Language for Production-Grade Agentic AI and Orchestration
A Personal Perspective
Choosing the Right Kubernetes Development Environment: Why KIND Wins for Enterprise AI Platforms
When you’re building a platform that runs on Kubernetes, you need a local development environment that doesn’t lie to you. The choice matters more than most ...
KubeCon 2025: The Enterprise AI Infrastructure Moment Has Arrived
KubeCon + CloudNativeCon North America 2025 in Atlanta wasn’t just another cloud native conference. It was the event where the industry collectively acknowle...
The Enterprise AI Infrastructure Stack: From Proof of Concept to Production
Why 87% of AI Projects Fail (And How to Be in the 13% That Succeed)
llm
The LLM Complexity Gap: Why No-Code Works for Web UIs But Not for Distributed Systems
LLMs have democratized software development in ways that seemed impossible just a few years ago. Tools like Lovable.com, Bolt.new, and v0.dev let non-technic...
The IDE Doesn’t Matter: A Philosophy for LLM-Powered Code Generation
LLMs are transforming how we build software. They can generate entire functions, refactor complex modules, and implement features faster than ever before. Bu...
Spec-Driven Development: A Comprehensive SDLC for AI-Assisted Software Engineering
Modern software development teams face a fundamental tension: AI assistants dramatically accelerate code generation, but without structured workflows, this s...
The SDLD Specification Format: A Canonical Reference
A comprehensive guide to the SDLD specification format for LLM-assisted software development.
Spec-Driven LLM Development (SDLD): Precise Engineering Through Specifications
LLMs are transforming how we write code. They can generate entire functions, refactor complex modules, and implement features faster than ever before. But th...
ai-infrastructure
Production AI Inference on Your Laptop in 8 Minutes: Mastering KServe with kFabric
Deploy Production-Like AI Inference Infrastructure on Your Laptop – In Eight Minutes
Getting Started with the CNCF Cloud-Native AI Stack: A Practical Guide for New Engineers
If you’re a new engineer looking to understand the CNCF Cloud-Native AI (CNAI) ecosystem, you’re entering at exactly the right moment. The stack has matured ...
KubeCon 2025: The Enterprise AI Infrastructure Moment Has Arrived
KubeCon + CloudNativeCon North America 2025 in Atlanta wasn’t just another cloud native conference. It was the event where the industry collectively acknowle...
The Enterprise AI Infrastructure Stack: From Proof of Concept to Production
Why 87% of AI Projects Fail (And How to Be in the 13% That Succeed)
sdld
The IDE Doesn’t Matter: A Philosophy for LLM-Powered Code Generation
LLMs are transforming how we build software. They can generate entire functions, refactor complex modules, and implement features faster than ever before. Bu...
Working Backwards with SDLD: Building a Go Service with Mage
Written in the working-backwards narrative style we use for launch docs.*
Spec-Driven Development: A Comprehensive SDLC for AI-Assisted Software Engineering
Modern software development teams face a fundamental tension: AI assistants dramatically accelerate code generation, but without structured workflows, this s...
The SDLD Specification Format: A Canonical Reference
A comprehensive guide to the SDLD specification format for LLM-assisted software development.
product-discovery
Customer Discovery Is the Highest-Leverage Work You’re Not Doing
I’ve spent the last month in back-to-back conversations with potential customers. Twenty-plus meetings, each one between thirty and sixty minutes. Every conv...
AI Drift Is a Product Problem, Not an Engineering Problem
Your coding agent isn’t broken. Your specifications are.
From PRFAQ to Backlog: How Amazon’s Working Backwards Process Becomes an AI Pipeline
In my previous post on Amazon’s Working Backwards SDLC for SMBs, I walked through the structured artifact chain (personas, use cases, PRFAQ, capability maps,...
The Missing Half of AI-Assisted Development
There’s a growing conversation in the industry about building a “Cursor for product management,” an AI-native system focused on helping teams figure out what...
engineering-leadership
The Agentic SDLC Transition Is Happening Whether Your Team Is Ready or Not
A leaked internal memo from Red Hat’s CTO and SVP of Engineering, dated March 31, 2026, is making the rounds. The headline: all of Global Engineering is requ...
The Vibe Coding Trap: Why Architecture Matters More When AI Writes the Code
A team ported a Go implementation of JSONata from scratch last week. Seven hours. $400 in token spend. They estimate it saves $500,000 a year in engineering ...
AI Sycophancy Is Making You Worse at Decisions
Stanford just published a study in Science that should make every engineering leader pause.
Issue Tracking Is Dead. Long Live the Spec.
Linear’s CEO made a striking announcement this week: the company is pivoting from issue tracking to agentic AI. The product will evolve to capture issues aut...
startup
Customer Discovery Is the Highest-Leverage Work You’re Not Doing
I’ve spent the last month in back-to-back conversations with potential customers. Twenty-plus meetings, each one between thirty and sixty minutes. Every conv...
Year-End Reflections: The Last 18 Months, and What Comes Next
As the year comes to a close, I’ve been reflecting on the last 18 months since leaving AWS. It’s been a long, focused chapter of deep work, and it’s now sett...
Announcing ActualyzeAI
One year ago, I decided to leave Amazon Web Services to start my own company. Since then I’ve had the chance to meet some amazing people, build some incredib...
cncf
Production AI Inference on Your Laptop in 8 Minutes: Mastering KServe with kFabric
Deploy Production-Like AI Inference Infrastructure on Your Laptop – In Eight Minutes
Getting Started with the CNCF Cloud-Native AI Stack: A Practical Guide for New Engineers
If you’re a new engineer looking to understand the CNCF Cloud-Native AI (CNAI) ecosystem, you’re entering at exactly the right moment. The stack has matured ...
KubeCon 2025: The Enterprise AI Infrastructure Moment Has Arrived
KubeCon + CloudNativeCon North America 2025 in Atlanta wasn’t just another cloud native conference. It was the event where the industry collectively acknowle...
specifications
Specifications Are the New API Between Product and Engineering
Picture this. Your team just adopted an AI coding agent. Cursor, Claude Code, Copilot, it doesn’t matter which. The first week is electric. A developer promp...
Spec-Driven Development: A Comprehensive SDLC for AI-Assisted Software Engineering
Modern software development teams face a fundamental tension: AI assistants dramatically accelerate code generation, but without structured workflows, this s...
The SDLD Specification Format: A Canonical Reference
A comprehensive guide to the SDLD specification format for LLM-assisted software development.
engineering-culture
Cognitive Debt: What Happens When Your Agents Move Faster Than You Can Review
Mario Zechner, the creator of the Pi agent framework, published a frank piece this week that’s worth sitting with: agents compound mistakes faster than human...
Amazon’s Working Backwards SDLC: A Practical Guide for SMB Engineering Teams
Amazon’s software development lifecycle is one of the most effective product development processes ever created. It has produced AWS, Kindle, Prime, Alexa, a...
Building High-Performance Engineering Culture: Mission, Vision, and Tenets
Every high-performance engineering team needs a foundation. Not the technical stack-that’s the easy part. The foundation that matters is shared understanding...
gpu-optimization
Production AI Inference on Your Laptop in 8 Minutes: Mastering KServe with kFabric
Deploy Production-Like AI Inference Infrastructure on Your Laptop – In Eight Minutes
The Enterprise AI Infrastructure Stack: From Proof of Concept to Production
Why 87% of AI Projects Fail (And How to Be in the 13% That Succeed)
compliance
KubeCon 2025: The Enterprise AI Infrastructure Moment Has Arrived
KubeCon + CloudNativeCon North America 2025 in Atlanta wasn’t just another cloud native conference. It was the event where the industry collectively acknowle...
The Enterprise AI Infrastructure Stack: From Proof of Concept to Production
Why 87% of AI Projects Fail (And How to Be in the 13% That Succeed)
platform-engineering
Choosing the Right Kubernetes Development Environment: Why KIND Wins for Enterprise AI Platforms
When you’re building a platform that runs on Kubernetes, you need a local development environment that doesn’t lie to you. The choice matters more than most ...
KubeCon 2025: The Enterprise AI Infrastructure Moment Has Arrived
KubeCon + CloudNativeCon North America 2025 in Atlanta wasn’t just another cloud native conference. It was the event where the industry collectively acknowle...
devops
What KodeOps Means: Unified SDLC Automation
The name KodeOps is deliberate. Just as DevOps unified development and operations, KodeOps unifies the entire software development lifecycle under a single a...
re:Invent 2025: AWS Frontier Agents and Developer Tools
Last day at re:Invent. Want to share notes on the AWS developer tools announcements.
requirements
Specifications Are the New API Between Product and Engineering
Picture this. Your team just adopted an AI coding agent. Cursor, Claude Code, Copilot, it doesn’t matter which. The first week is electric. A developer promp...
The SDLD Specification Format: A Canonical Reference
A comprehensive guide to the SDLD specification format for LLM-assisted software development.
golang
Why Go is the Best Language for Production-Grade Agentic AI and Orchestration
A Personal Perspective
Working Backwards with SDLD: Building a Go Service with Mage
Written in the working-backwards narrative style we use for launch docs.*
team-building
Onboarding Our Founding Engineering Team
Today I’m onboarding the founding engineers at Actualyze. I’ve worked with all of them before. Excited to be getting the band back together.
Building High-Performance Engineering Culture: Mission, Vision, and Tenets
Every high-performance engineering team needs a foundation. Not the technical stack-that’s the easy part. The foundation that matters is shared understanding...
amazon
Amazon’s Working Backwards SDLC: A Practical Guide for SMB Engineering Teams
Amazon’s software development lifecycle is one of the most effective product development processes ever created. It has produced AWS, Kindle, Prime, Alexa, a...
Building High-Performance Engineering Culture: Mission, Vision, and Tenets
Every high-performance engineering team needs a foundation. Not the technical stack-that’s the easy part. The foundation that matters is shared understanding...
production-systems
The LLM Complexity Gap: Why No-Code Works for Web UIs But Not for Distributed Systems
LLMs have democratized software development in ways that seemed impossible just a few years ago. Tools like Lovable.com, Bolt.new, and v0.dev let non-technic...
Why Go is the Best Language for Production-Grade Agentic AI and Orchestration
A Personal Perspective
distributed-systems
Getting Started with the CNCF Cloud-Native AI Stack: A Practical Guide for New Engineers
If you’re a new engineer looking to understand the CNCF Cloud-Native AI (CNAI) ecosystem, you’re entering at exactly the right moment. The stack has matured ...
The LLM Complexity Gap: Why No-Code Works for Web UIs But Not for Distributed Systems
LLMs have democratized software development in ways that seemed impossible just a few years ago. Tools like Lovable.com, Bolt.new, and v0.dev let non-technic...
kodeops
What KodeOps Means: Unified SDLC Automation
The name KodeOps is deliberate. Just as DevOps unified development and operations, KodeOps unifies the entire software development lifecycle under a single a...
Introducing KodeOps: Open Source SDLC Automation
In my year-end reflections, I mentioned that I’d be sharing more of my work through open source releases in the coming year. Today, I’m delivering on that pr...
automation
What KodeOps Means: Unified SDLC Automation
The name KodeOps is deliberate. Just as DevOps unified development and operations, KodeOps unifies the entire software development lifecycle under a single a...
Introducing KodeOps: Open Source SDLC Automation
In my year-end reflections, I mentioned that I’d be sharing more of my work through open source releases in the coming year. Today, I’m delivering on that pr...
actualyze
Onboarding Our Founding Engineering Team
Today I’m onboarding the founding engineers at Actualyze. I’ve worked with all of them before. Excited to be getting the band back together.
Introducing KodeOps: Open Source SDLC Automation
In my year-end reflections, I mentioned that I’d be sharing more of my work through open source releases in the coming year. Today, I’m delivering on that pr...
kserve
Production AI Inference on Your Laptop in 8 Minutes: Mastering KServe with kFabric
Deploy Production-Like AI Inference Infrastructure on Your Laptop – In Eight Minutes
Getting Started with the CNCF Cloud-Native AI Stack: A Practical Guide for New Engineers
If you’re a new engineer looking to understand the CNCF Cloud-Native AI (CNAI) ecosystem, you’re entering at exactly the right moment. The stack has matured ...
model-serving
Production AI Inference on Your Laptop in 8 Minutes: Mastering KServe with kFabric
Deploy Production-Like AI Inference Infrastructure on Your Laptop – In Eight Minutes
Getting Started with the CNCF Cloud-Native AI Stack: A Practical Guide for New Engineers
If you’re a new engineer looking to understand the CNCF Cloud-Native AI (CNAI) ecosystem, you’re entering at exactly the right moment. The stack has matured ...
prfaq
From PRFAQ to Backlog: How Amazon’s Working Backwards Process Becomes an AI Pipeline
In my previous post on Amazon’s Working Backwards SDLC for SMBs, I walked through the structured artifact chain (personas, use cases, PRFAQ, capability maps,...
Amazon’s Working Backwards SDLC: A Practical Guide for SMB Engineering Teams
Amazon’s software development lifecycle is one of the most effective product development processes ever created. It has produced AWS, Kindle, Prime, Alexa, a...
shipkode
Issue Tracking Is Dead. Long Live the Spec.
Linear’s CEO made a striking announcement this week: the company is pivoting from issue tracking to agentic AI. The product will evolve to capture issues aut...
Building the End-to-End AI-Native SDLC: What I’ve Learned
This is Post 6 of a series on the AI-Native SDLC. Previous posts: The Missing Half, From PRFAQ to Backlog, Specifications Are the New API, AI Drift Is a Prod...
ai-governance
The Warning Was Inside the Leak
Last week, Anthropic accidentally published nearly 3,000 internal documents to a publicly searchable database. A default CMS setting made uploaded files publ...
Cognitive Debt: What Happens When Your Agents Move Faster Than You Can Review
Mario Zechner, the creator of the Pi agent framework, published a frank piece this week that’s worth sitting with: agents compound mistakes faster than human...
anthropic
AI Sycophancy Is Making You Worse at Decisions
Stanford just published a study in Science that should make every engineering leader pause.
The Warning Was Inside the Leak
Last week, Anthropic accidentally published nearly 3,000 internal documents to a publicly searchable database. A default CMS setting made uploaded files publ...
frontier-models
AI Sycophancy Is Making You Worse at Decisions
Stanford just published a study in Science that should make every engineering leader pause.
The Warning Was Inside the Leak
Last week, Anthropic accidentally published nearly 3,000 internal documents to a publicly searchable database. A default CMS setting made uploaded files publ...
pdlc
The Agentic SDLC Transition Is Happening Whether Your Team Is Ready or Not
A leaked internal memo from Red Hat’s CTO and SVP of Engineering, dated March 31, 2026, is making the rounds. The headline: all of Global Engineering is requ...
The Vibe Coding Trap: Why Architecture Matters More When AI Writes the Code
A team ported a Go implementation of JSONata from scratch last week. Seven hours. $400 in token spend. They estimate it saves $500,000 a year in engineering ...
SDLC
The Importance of a Secure Development Lifecycle
In today’s digital landscape, security is more crucial than ever. Cyber threats are evolving at an unprecedented pace, and the need to build secure software ...
DevSecOps
The Importance of a Secure Development Lifecycle
In today’s digital landscape, security is more crucial than ever. Cyber threats are evolving at an unprecedented pace, and the need to build secure software ...
Security
The Importance of a Secure Development Lifecycle
In today’s digital landscape, security is more crucial than ever. Cyber threats are evolving at an unprecedented pace, and the need to build secure software ...
actualyze-ai
Announcing ActualyzeAI
One year ago, I decided to leave Amazon Web Services to start my own company. Since then I’ve had the chance to meet some amazing people, build some incredib...
announcement
Announcing ActualyzeAI
One year ago, I decided to leave Amazon Web Services to start my own company. Since then I’ve had the chance to meet some amazing people, build some incredib...
enterprise-ai
The Enterprise AI Infrastructure Stack: From Proof of Concept to Production
Why 87% of AI Projects Fail (And How to Be in the 13% That Succeed)
mlops
The Enterprise AI Infrastructure Stack: From Proof of Concept to Production
Why 87% of AI Projects Fail (And How to Be in the 13% That Succeed)
hybrid-cloud
The Enterprise AI Infrastructure Stack: From Proof of Concept to Production
Why 87% of AI Projects Fail (And How to Be in the 13% That Succeed)
cost-optimization
The Enterprise AI Infrastructure Stack: From Proof of Concept to Production
Why 87% of AI Projects Fail (And How to Be in the 13% That Succeed)
kubecon
KubeCon 2025: The Enterprise AI Infrastructure Moment Has Arrived
KubeCon + CloudNativeCon North America 2025 in Atlanta wasn’t just another cloud native conference. It was the event where the industry collectively acknowle...
cloudnativecon
KubeCon 2025: The Enterprise AI Infrastructure Moment Has Arrived
KubeCon + CloudNativeCon North America 2025 in Atlanta wasn’t just another cloud native conference. It was the event where the industry collectively acknowle...
data-sovereignty
KubeCon 2025: The Enterprise AI Infrastructure Moment Has Arrived
KubeCon + CloudNativeCon North America 2025 in Atlanta wasn’t just another cloud native conference. It was the event where the industry collectively acknowle...
hipaa
KubeCon 2025: The Enterprise AI Infrastructure Moment Has Arrived
KubeCon + CloudNativeCon North America 2025 in Atlanta wasn’t just another cloud native conference. It was the event where the industry collectively acknowle...
gdpr
KubeCon 2025: The Enterprise AI Infrastructure Moment Has Arrived
KubeCon + CloudNativeCon North America 2025 in Atlanta wasn’t just another cloud native conference. It was the event where the industry collectively acknowle...
cyber-resilience-act
KubeCon 2025: The Enterprise AI Infrastructure Moment Has Arrived
KubeCon + CloudNativeCon North America 2025 in Atlanta wasn’t just another cloud native conference. It was the event where the industry collectively acknowle...
aws
re:Invent 2025: AWS Frontier Agents and Developer Tools
Last day at re:Invent. Want to share notes on the AWS developer tools announcements.
reinvent
re:Invent 2025: AWS Frontier Agents and Developer Tools
Last day at re:Invent. Want to share notes on the AWS developer tools announcements.
kiro
re:Invent 2025: AWS Frontier Agents and Developer Tools
Last day at re:Invent. Want to share notes on the AWS developer tools announcements.
bedrock
re:Invent 2025: AWS Frontier Agents and Developer Tools
Last day at re:Invent. Want to share notes on the AWS developer tools announcements.
reflections
Year-End Reflections: The Last 18 Months, and What Comes Next
As the year comes to a close, I’ve been reflecting on the last 18 months since leaving AWS. It’s been a long, focused chapter of deep work, and it’s now sett...
cloud-native
Year-End Reflections: The Last 18 Months, and What Comes Next
As the year comes to a close, I’ve been reflecting on the last 18 months since leaving AWS. It’s been a long, focused chapter of deep work, and it’s now sett...
infrastructure
Year-End Reflections: The Last 18 Months, and What Comes Next
As the year comes to a close, I’ve been reflecting on the last 18 months since leaving AWS. It’s been a long, focused chapter of deep work, and it’s now sett...
testing
Spec-Driven LLM Development (SDLD): Precise Engineering Through Specifications
LLMs are transforming how we write code. They can generate entire functions, refactor complex modules, and implement features faster than ever before. But th...
verification
Spec-Driven LLM Development (SDLD): Precise Engineering Through Specifications
LLMs are transforming how we write code. They can generate entire functions, refactor complex modules, and implement features faster than ever before. But th...
documentation
The SDLD Specification Format: A Canonical Reference
A comprehensive guide to the SDLD specification format for LLM-assisted software development.
software-engineering
Spec-Driven Development: A Comprehensive SDLC for AI-Assisted Software Engineering
Modern software development teams face a fundamental tension: AI assistants dramatically accelerate code generation, but without structured workflows, this s...
methodology
Spec-Driven Development: A Comprehensive SDLC for AI-Assisted Software Engineering
Modern software development teams face a fundamental tension: AI assistants dramatically accelerate code generation, but without structured workflows, this s...
mage
Working Backwards with SDLD: Building a Go Service with Mage
Written in the working-backwards narrative style we use for launch docs.*
tutorial
Working Backwards with SDLD: Building a Go Service with Mage
Written in the working-backwards narrative style we use for launch docs.*
workflow
Working Backwards with SDLD: Building a Go Service with Mage
Written in the working-backwards narrative style we use for launch docs.*
build-systems
The IDE Doesn’t Matter: A Philosophy for LLM-Powered Code Generation
LLMs are transforming how we build software. They can generate entire functions, refactor complex modules, and implement features faster than ever before. Bu...
engineering-philosophy
The IDE Doesn’t Matter: A Philosophy for LLM-Powered Code Generation
LLMs are transforming how we build software. They can generate entire functions, refactor complex modules, and implement features faster than ever before. Bu...
leadership
Building High-Performance Engineering Culture: Mission, Vision, and Tenets
Every high-performance engineering team needs a foundation. Not the technical stack-that’s the easy part. The foundation that matters is shared understanding...
leadership-principles
Building High-Performance Engineering Culture: Mission, Vision, and Tenets
Every high-performance engineering team needs a foundation. Not the technical stack-that’s the easy part. The foundation that matters is shared understanding...
tenets
Building High-Performance Engineering Culture: Mission, Vision, and Tenets
Every high-performance engineering team needs a foundation. Not the technical stack-that’s the easy part. The foundation that matters is shared understanding...
kind
Choosing the Right Kubernetes Development Environment: Why KIND Wins for Enterprise AI Platforms
When you’re building a platform that runs on Kubernetes, you need a local development environment that doesn’t lie to you. The choice matters more than most ...
minikube
Choosing the Right Kubernetes Development Environment: Why KIND Wins for Enterprise AI Platforms
When you’re building a platform that runs on Kubernetes, you need a local development environment that doesn’t lie to you. The choice matters more than most ...
docker-desktop
Choosing the Right Kubernetes Development Environment: Why KIND Wins for Enterprise AI Platforms
When you’re building a platform that runs on Kubernetes, you need a local development environment that doesn’t lie to you. The choice matters more than most ...
k3s
Choosing the Right Kubernetes Development Environment: Why KIND Wins for Enterprise AI Platforms
When you’re building a platform that runs on Kubernetes, you need a local development environment that doesn’t lie to you. The choice matters more than most ...
development-environment
Choosing the Right Kubernetes Development Environment: Why KIND Wins for Enterprise AI Platforms
When you’re building a platform that runs on Kubernetes, you need a local development environment that doesn’t lie to you. The choice matters more than most ...
multi-cluster
Choosing the Right Kubernetes Development Environment: Why KIND Wins for Enterprise AI Platforms
When you’re building a platform that runs on Kubernetes, you need a local development environment that doesn’t lie to you. The choice matters more than most ...
ci-cd
Choosing the Right Kubernetes Development Environment: Why KIND Wins for Enterprise AI Platforms
When you’re building a platform that runs on Kubernetes, you need a local development environment that doesn’t lie to you. The choice matters more than most ...
orchestration
Why Go is the Best Language for Production-Grade Agentic AI and Orchestration
A Personal Perspective
python
Why Go is the Best Language for Production-Grade Agentic AI and Orchestration
A Personal Perspective
typescript
Why Go is the Best Language for Production-Grade Agentic AI and Orchestration
A Personal Perspective
concurrency
Why Go is the Best Language for Production-Grade Agentic AI and Orchestration
A Personal Perspective
no-code
The LLM Complexity Gap: Why No-Code Works for Web UIs But Not for Distributed Systems
LLMs have democratized software development in ways that seemed impossible just a few years ago. Tools like Lovable.com, Bolt.new, and v0.dev let non-technic...
complexity
The LLM Complexity Gap: Why No-Code Works for Web UIs But Not for Distributed Systems
LLMs have democratized software development in ways that seemed impossible just a few years ago. Tools like Lovable.com, Bolt.new, and v0.dev let non-technic...
web-development
The LLM Complexity Gap: Why No-Code Works for Web UIs But Not for Distributed Systems
LLMs have democratized software development in ways that seemed impossible just a few years ago. Tools like Lovable.com, Bolt.new, and v0.dev let non-technic...
open-source
Introducing KodeOps: Open Source SDLC Automation
In my year-end reflections, I mentioned that I’d be sharing more of my work through open source releases in the coming year. Today, I’m delivering on that pr...
vllm
Getting Started with the CNCF Cloud-Native AI Stack: A Practical Guide for New Engineers
If you’re a new engineer looking to understand the CNCF Cloud-Native AI (CNAI) ecosystem, you’re entering at exactly the right moment. The stack has matured ...
karmada
Getting Started with the CNCF Cloud-Native AI Stack: A Practical Guide for New Engineers
If you’re a new engineer looking to understand the CNCF Cloud-Native AI (CNAI) ecosystem, you’re entering at exactly the right moment. The stack has matured ...
llm-d
Getting Started with the CNCF Cloud-Native AI Stack: A Practical Guide for New Engineers
If you’re a new engineer looking to understand the CNCF Cloud-Native AI (CNAI) ecosystem, you’re entering at exactly the right moment. The stack has matured ...
ai-assisted-development
Onboarding Our Founding Engineering Team
Today I’m onboarding the founding engineers at Actualyze. I’ve worked with all of them before. Excited to be getting the band back together.
kfabric
Production AI Inference on Your Laptop in 8 Minutes: Mastering KServe with kFabric
Deploy Production-Like AI Inference Infrastructure on Your Laptop – In Eight Minutes
istio
Production AI Inference on Your Laptop in 8 Minutes: Mastering KServe with kFabric
Deploy Production-Like AI Inference Infrastructure on Your Laptop – In Eight Minutes
prometheus
Production AI Inference on Your Laptop in 8 Minutes: Mastering KServe with kFabric
Deploy Production-Like AI Inference Infrastructure on Your Laptop – In Eight Minutes
gpu-monitoring
Production AI Inference on Your Laptop in 8 Minutes: Mastering KServe with kFabric
Deploy Production-Like AI Inference Infrastructure on Your Laptop – In Eight Minutes
dcgm
Production AI Inference on Your Laptop in 8 Minutes: Mastering KServe with kFabric
Deploy Production-Like AI Inference Infrastructure on Your Laptop – In Eight Minutes
product-management
Amazon’s Working Backwards SDLC: A Practical Guide for SMB Engineering Teams
Amazon’s software development lifecycle is one of the most effective product development processes ever created. It has produced AWS, Kindle, Prime, Alexa, a...
agile
Amazon’s Working Backwards SDLC: A Practical Guide for SMB Engineering Teams
Amazon’s software development lifecycle is one of the most effective product development processes ever created. It has produced AWS, Kindle, Prime, Alexa, a...
ai-drift
AI Drift Is a Product Problem, Not an Engineering Problem
Your coding agent isn’t broken. Your specifications are.
context-management
Context Is the New Constraint: Managing What Your AI Knows
Your AI knows too much. And not enough. At the same time.
progressive-summarization
Context Is the New Constraint: Managing What Your AI Knows
Your AI knows too much. And not enough. At the same time.
ai-native-sdlc
Building the End-to-End AI-Native SDLC: What I’ve Learned
This is Post 6 of a series on the AI-Native SDLC. Previous posts: The Missing Half, From PRFAQ to Backlog, Specifications Are the New API, AI Drift Is a Prod...
product-engineering-gap
Building the End-to-End AI-Native SDLC: What I’ve Learned
This is Post 6 of a series on the AI-Native SDLC. Previous posts: The Missing Half, From PRFAQ to Backlog, Specifications Are the New API, AI Drift Is a Prod...
ai-coding-agents
Building the End-to-End AI-Native SDLC: What I’ve Learned
This is Post 6 of a series on the AI-Native SDLC. Previous posts: The Missing Half, From PRFAQ to Backlog, Specifications Are the New API, AI Drift Is a Prod...
customer-discovery
Customer Discovery Is the Highest-Leverage Work You’re Not Doing
I’ve spent the last month in back-to-back conversations with potential customers. Twenty-plus meetings, each one between thirty and sixty minutes. Every conv...
interviews
Customer Discovery Is the Highest-Leverage Work You’re Not Doing
I’ve spent the last month in back-to-back conversations with potential customers. Twenty-plus meetings, each one between thirty and sixty minutes. Every conv...
product-market-fit
Customer Discovery Is the Highest-Leverage Work You’re Not Doing
I’ve spent the last month in back-to-back conversations with potential customers. Twenty-plus meetings, each one between thirty and sixty minutes. Every conv...
cognitive-debt
Cognitive Debt: What Happens When Your Agents Move Faster Than You Can Review
Mario Zechner, the creator of the Pi agent framework, published a frank piece this week that’s worth sitting with: agents compound mistakes faster than human...
code-review
Cognitive Debt: What Happens When Your Agents Move Faster Than You Can Review
Mario Zechner, the creator of the Pi agent framework, published a frank piece this week that’s worth sitting with: agents compound mistakes faster than human...
issue-tracking
Issue Tracking Is Dead. Long Live the Spec.
Linear’s CEO made a striking announcement this week: the company is pivoting from issue tracking to agentic AI. The product will evolve to capture issues aut...
product-engineering
Issue Tracking Is Dead. Long Live the Spec.
Linear’s CEO made a striking announcement this week: the company is pivoting from issue tracking to agentic AI. The product will evolve to capture issues aut...
cybersecurity
The Warning Was Inside the Leak
Last week, Anthropic accidentally published nearly 3,000 internal documents to a publicly searchable database. A default CMS setting made uploaded files publ...
blue-team
The Warning Was Inside the Leak
Last week, Anthropic accidentally published nearly 3,000 internal documents to a publicly searchable database. A default CMS setting made uploaded files publ...
ai-safety
The Warning Was Inside the Leak
Last week, Anthropic accidentally published nearly 3,000 internal documents to a publicly searchable database. A default CMS setting made uploaded files publ...
threat-modeling
The Warning Was Inside the Leak
Last week, Anthropic accidentally published nearly 3,000 internal documents to a publicly searchable database. A default CMS setting made uploaded files publ...
supply-chain-security
The Warning Was Inside the Leak
Last week, Anthropic accidentally published nearly 3,000 internal documents to a publicly searchable database. A default CMS setting made uploaded files publ...
ai-research
AI Sycophancy Is Making You Worse at Decisions
Stanford just published a study in Science that should make every engineering leader pause.
decision-making
AI Sycophancy Is Making You Worse at Decisions
Stanford just published a study in Science that should make every engineering leader pause.
vibe-coding
The Vibe Coding Trap: Why Architecture Matters More When AI Writes the Code
A team ported a Go implementation of JSONata from scratch last week. Seven hours. $400 in token spend. They estimate it saves $500,000 a year in engineering ...
architecture
The Vibe Coding Trap: Why Architecture Matters More When AI Writes the Code
A team ported a Go implementation of JSONata from scratch last week. Seven hours. $400 in token spend. They estimate it saves $500,000 a year in engineering ...
ai-agents
The Vibe Coding Trap: Why Architecture Matters More When AI Writes the Code
A team ported a Go implementation of JSONata from scratch last week. Seven hours. $400 in token spend. They estimate it saves $500,000 a year in engineering ...
software-quality
The Vibe Coding Trap: Why Architecture Matters More When AI Writes the Code
A team ported a Go implementation of JSONata from scratch last week. Seven hours. $400 in token spend. They estimate it saves $500,000 a year in engineering ...
supply-chain-attack
CRITICAL: Axios npm Package Backdoored — 100M Weekly Downloads, Cross-Platform RAT
CRITICAL: Axios npm Package Backdoored — 100M Weekly Downloads, Cross-Platform RAT
npm-security
CRITICAL: Axios npm Package Backdoored — 100M Weekly Downloads, Cross-Platform RAT
CRITICAL: Axios npm Package Backdoored — 100M Weekly Downloads, Cross-Platform RAT
axios
CRITICAL: Axios npm Package Backdoored — 100M Weekly Downloads, Cross-Platform RAT
CRITICAL: Axios npm Package Backdoored — 100M Weekly Downloads, Cross-Platform RAT
software-security
CRITICAL: Axios npm Package Backdoored — 100M Weekly Downloads, Cross-Platform RAT
CRITICAL: Axios npm Package Backdoored — 100M Weekly Downloads, Cross-Platform RAT
ai-transformation
The Agentic SDLC Transition Is Happening Whether Your Team Is Ready or Not
A leaked internal memo from Red Hat’s CTO and SVP of Engineering, dated March 31, 2026, is making the rounds. The headline: all of Global Engineering is requ...
cto
The Agentic SDLC Transition Is Happening Whether Your Team Is Ready or Not
A leaked internal memo from Red Hat’s CTO and SVP of Engineering, dated March 31, 2026, is making the rounds. The headline: all of Global Engineering is requ...
org-design
The Agentic SDLC Transition Is Happening Whether Your Team Is Ready or Not
A leaked internal memo from Red Hat’s CTO and SVP of Engineering, dated March 31, 2026, is making the rounds. The headline: all of Global Engineering is requ...